Gatsby Plugin Linaria screenshot

Gatsby Plugin Linaria

Author Avatar Theme by Cometkim
Updated: 16 May 2023
58 Stars

Gatsby plugin for styling with Linaria

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Overview

The Gatsby Plugin for Linaria offers a powerful way to integrate Linaria’s CSS-in-JS styling capabilities into your Gatsby applications. With smooth installation and built-in features, it’s designed to optimize your styling process while ensuring a great performance on the web. This plugin stands out due to its advanced critical CSS extraction capabilities, allowing developers to enhance their site’s loading speed without compromising style integrity.

By effectively managing how styles are injected into your application, this plugin addresses common concerns such as Server-Side Rendering (SSR) issues and Flash of Unstyled Content (FOUC). Whether you’re building a small site or a large application, the Linaria plugin provides the tools needed to maintain a seamless and visually appealing user experience.

Features

  • Easy Installation: Simple setup process with just a few commands to get Linaria working in your Gatsby project.

  • TypeScript Support: Seamlessly integrate with TypeScript by ensuring the correct loading order of plugins in the configuration file.

  • Customized Loader Options: Offers flexibility for developers to tailor linaria loader options according to their specific project needs.

  • Critical CSS Extraction: Automatically extracts styles into the <head> for optimal SSR handling, reducing the likelihood of FOUC.

  • Deferred Loading: The plugin provides an option to defer loading non-critical CSS, which can significantly improve page load performance.

  • Performance Insights: Integrates well with Lighthouse, although it may display warnings about duplicated styles, which are a normal part of the critical CSS process.

  • Developer-Friendly: Clear documentation and support to help developers troubleshoot any issues and optimize their styling workflow.

  • Artistic Enhancement: Encourages a visually appealing design while focusing on robust performance and clean code structure.